Post-healing rehabilitation auxiliary detection system and method based on three-dimensional human skeleton model and medium

A human skeleton, auxiliary detection technology, applied in the field of computer vision, can solve the problems of poor medical resources, high operating costs, and inability to effectively protect the privacy information of the elderly, and achieve the effect of assisting disease recovery

Pending Publication Date: 2022-02-15
HARBIN INST OF TECH AT WEIHAI
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AI Technical Summary

Problems solved by technology

[0005] (1) The real-time and fast performance of the existing technology for the elderly rehabilitation auxiliary detection platform is poor, the operating cost is high, and the materialization, interconnection, and intelligence are low, resulting in low data accuracy.
[0006] (2) The existing technology

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  • Post-healing rehabilitation auxiliary detection system and method based on three-dimensional human skeleton model and medium
  • Post-healing rehabilitation auxiliary detection system and method based on three-dimensional human skeleton model and medium
  • Post-healing rehabilitation auxiliary detection system and method based on three-dimensional human skeleton model and medium

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Embodiment

[0110] Such as figure 1 As shown, the post-healing rehabilitation auxiliary detection method based on the three-dimensional human skeleton model provided by the disclosed embodiments of the present invention includes:

[0111] S101, using computer vision technology to detect rehabilitation exercise behavior of the elderly;

[0112] S102, use the classic OpenPose neural network, deploy it in the Raspberry Pi, and obtain the two-dimensional coordinate points of 18 joint points of the human body in real time;

[0113] S103, using the pinhole camera model to transform the two-dimensional coordinates into three-dimensional coordinates, and establishing a three-dimensional human skeleton model, calculating the skeleton distance and bone angle, and inputting it into the trained random forest model;

[0114] S104, using the socket to recognize the real-time posture of the elderly in real time, and the recognition accuracy can reach 88.8%;

[0115] S105. Finally, implement the system...

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Abstract

The invention discloses a post-healing rehabilitation auxiliary detection system and method based on a three-dimensional human skeleton model and a medium, and relates to the technical field of computer vision. The method comprises the following steps: utilizing and deploying a classic OpenPose neural network in Raspberry Pi, and obtaining two-dimensional coordinate points of a plurality of joint points in real time; converting two-dimensional coordinates into three-dimensional coordinates by using a pinhole camera model, and establishing a three-dimensional human skeleton model; calculating skeleton spacing and skeleton angles in the three-dimensional human skeleton model, and inputting the skeleton spacing and the skeleton angles into a trained random forest model; recognizing real-time postures of a user in real time by using a socket; and displaying the real-time postures in an APP, and detecting and judging health conditions of the user. According to the invention, eight-element data including seven skeleton angles and one posture label is used as a training set to train a random forest classification model, and the recognition accuracy rate reaches 88.8%.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a three-dimensional human skeleton model-based auxiliary rehabilitation detection system and method, a program storage medium for receiving user input, and an information data processing terminal. Background technique [0002] At present, the aging phenomenon in our country is very serious. How to provide for the elderly in a healthy way is a major problem to be solved urgently by the present invention. Many elderly people will more or less undergo large and small operations. Whether the ideal physical health condition has been achieved after the operation, and whether the rehabilitation exercise behavior meets the medical standard is a judgment of medical subjectivity, and every elderly person needs to Doctors make diagnoses in person, which greatly makes the already insufficient medical resources worse. Smart old-age care is a new concept put forward by ou...

Claims

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Application Information

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IPC IPC(8): G06V40/20G06T17/00G16H50/30G06N3/04G06N3/08
CPCG16H50/30G06T17/00G06N3/04G06N3/08
Inventor 丁德琼胡鑫乔敏行初佃辉
Owner HARBIN INST OF TECH AT WEIHAI
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